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Design of MEC 5G Cellular Networks: Viewpoints from Telecom Operators and Backhaul Owners
- Source :
- ICC Workshops
- Publication Year :
- 2020
-
Abstract
- Recently, the mobile traffic demand is increasing due to the drastic growth in the number of connected devices and smart services utilizing wireless cellular networks. In order to deal with this tough challenge, a key technology in 5G cellular networks, Multi-Access Edge Computing (MEC) which can provide ultra-low end-to-end latency, significant reduction of traffic load on backhaul, etc., has come into sight. The potential benefits of MEC in 5G and beyond have been revealed by plenty of state-of-the-art works. However, it leaves a difficult problem for the operators, which is to determine whether and how to deploy MEC in cellular networks due to the uncertainty of feedback from the investment on MEC. Although, there were a few works studying on the optimization of the number of MEC from the viewpoint of telecom operators, their contribution focus only on telecom operators rather than taking other operators (backhaul owners, Cloud owners, etc.) into account. In this paper, we propose a social maximization revenue model with the investment strategy for the telecom operators who decide the number of MEC and the backhaul owner who lease the backhaul capacity. The numerical results indicate that the optimal number of MEC and backhaul capacity that maximize the two players' profit is the same. Hence, it turns out that the advantage of MEC can be highlighted by using both Cloud and edge resource in parallel rather than processing all traffic on the MEC side.
- Subjects :
- cellular radio
Investment strategy
Computer science
Numerical models
Multi-Access Edge Computing
social maximization revenue model
Cloud computing
Revenue
backhaul capacity
investment strategy
5G mobile communication
telecommunication traffic
Computer architecture
Microprocessors
Edge computing
mobile traffic demand
MEC 5G cellular network
business.industry
Cellular networks
investment
multiaccess edge computing
ultralow end-to-end latency
Telecom Operator
Backhaul (telecommunications)
Revenue model
Heterogeneous Networks
backhaul owner
Cellular network
Telecommunications
Business Model
business
telecom operators
wireless cellular networks
5G
traffic load
Computer network
Subjects
Details
- Language :
- English
- ISSN :
- 24749133
- Database :
- OpenAIRE
- Journal :
- 2020 IEEE International Conference on Communications Workshops (ICC Workshops)
- Accession number :
- edsair.doi.dedup.....4fc07272be32ea9087e95fe93f4ec140